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Sunkyung Park

5 accepted papers

2025

Efficient Gradient-Based Inference for Manipulation Planning in Contact Factor Graphs

ICRA 2025

This paper presents a framework designed to tackle a range of planning problems arise in manipulation, which typically involve complex geometric-physical reasoning related to contact and dynamic constraints. We introduce the Contact Factor Graph (CFG) to graphically model these diverse factors, enab

Cited by 0SourceScholar
2024

Collision Detection between Smooth Convex Bodies via Riemannian Optimization Framework

IROS 2024poster

Collision detection is a fundamental problem across various fields such as robotics, physical simulation, and computer graphics. While numerous studies have provided efficient solutions, based on the well-known Gilbert, Johnson, and Keerthi (GJK) algorithm and Expanding Polytope Algorithm (EPA), exi…

Cited by 0SourceScholar